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Simultaneous Data Collection of fMRI and fNIRS Measurements Using a Whole-Head Optode Array and Short-Distance Channels
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Transcranial brain atlas-based optimization for functional near-infrared spectroscopy optode arrangement: Theory,
Yang Zhao1, Xiang Xiao1,2, Yi-Han Jiang1
1State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.
Human Brain Mapping
|December 17, 2020
Summary
This study introduces a novel mathematical framework and algorithm for optimizing functional near-infrared spectroscopy (fNIRS) optode placement using transcranial brain atlases (TBAs). The new method offers more accurate and consistent fNIRS group imaging compared to traditional approaches.
Area of Science:
- Neuroimaging
- Biomedical Engineering
- Cognitive Neuroscience
Background:
- Accurate optode arrangement is vital for functional near-infrared spectroscopy (fNIRS) group studies.
- Transcranial brain atlases (TBAs) have been used manually for optode guidance, but lack a clear theoretical basis, leading to subjective application.
- Individual structural MRI data is often unavailable, necessitating alternative methods for precise optode placement.
Purpose of the Study:
- To establish a theoretical foundation for TBA-based optode arrangement optimization using a mathematical framework.
- To develop and validate an algorithm for automated optode arrangement on a virtual scalp.
- To compare the proposed method's performance against the standard 10/20 system for fNIRS group imaging.
Main Methods:
- Developed a mathematical framework to define the theoretical basis for TBA-guided optode arrangement.
- Created an algorithm for automatic optode placement on a virtual scalp.
- Utilized a portable navigation system to transfer the virtual montage to participants' heads and compared with the 10/20 system using finger-tapping and working memory tasks.
Main Results:
- The proposed TBA-based algorithm demonstrated superior performance in optode montage design and scalp placement accuracy compared to the 10/20 system.
- fNIRS brain activation analysis showed more accurate and consistent results with the new method.
- Ground truth indices derived from individual MRI data supported the enhanced accuracy and efficiency of the TBA-guided approach.
Conclusions:
- The developed mathematical framework and algorithm provide a robust, objective, and efficient method for optode arrangement in fNIRS group studies.
- This approach significantly improves the accuracy and consistency of fNIRS neuroimaging, especially when individual MRI data is unavailable.
- The findings suggest a paradigm shift from subjective to data-driven optode placement for enhanced reliability in cognitive neuroscience research.
